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DataFunTalk
DataFunTalk
Jun 21, 2019 · Artificial Intelligence

Applying Deep Learning to Airbnb Search: Model Evolution, Feature Engineering, and System Insights

This article reviews the Airbnb search ranking paper, detailing offline and online performance gains, the progression from SimpleNN to LambdaRankNN, GBDT/FM NN, and Deep NN models, failed embedding attempts, extensive feature engineering practices, and the production system architecture that enabled large‑scale deep learning deployment.

AirbnbDeep LearningFeature Engineering
0 likes · 10 min read
Applying Deep Learning to Airbnb Search: Model Evolution, Feature Engineering, and System Insights
vivo Internet Technology
vivo Internet Technology
Jan 22, 2018 · Artificial Intelligence

Learning to Rank: From Regression to Search Ranking and Evaluation Methods

Learning to rank reframes search as a machine‑learning problem that optimizes document ordering rather than numeric prediction, using relevance metrics such as NDCG and feature‑based scoring functions, and comparing point‑wise, pair‑wise (RankSVM) and list‑wise (ListNet) approaches while stressing that proper error definition and feature selection matter more than the specific algorithm.

NDCGPairwisePointwise
0 likes · 16 min read
Learning to Rank: From Regression to Search Ranking and Evaluation Methods